Literature DB >> 29361893

Discovery of novel antimicrobial peptides: A transcriptomic study of the sea anemone Cnidopus japonicus.

Ekaterina N Grafskaia1,2, Nadezhda F Polina2, Vladislav V Babenko2, Daria D Kharlampieva2, Pavel A Bobrovsky2, Valentin A Manuvera1,2, Tatyana E Farafonova3, Nikolay A Anikanov2,4, Vassili N Lazarev1,2.   

Abstract

As essential conservative component of the innate immune systems of living organisms, antimicrobial peptides (AMPs) could complement pharmaceuticals that increasingly fail to combat various pathogens exhibiting increased resistance to microbial antibiotics. Among the properties of AMPs that suggest their potential as therapeutic agents, diverse peptides in the venoms of various predators demonstrate antimicrobial activity and kill a wide range of microorganisms. To identify potent AMPs, the study reported here involved a transcriptomic profiling of the tentacle secretion of the sea anemone Cnidopus japonicus. An in silico search algorithm designed to discover toxin-like proteins containing AMPs was developed based on the evaluation of the properties and structural peculiarities of amino acid sequences. The algorithm revealed new proteins of the anemone containing antimicrobial candidate sequences, and 10 AMPs verified using high-throughput proteomics were synthesized. The antimicrobial activity of the candidate molecules was experimentally estimated against Gram-positive and -negative bacteria. Ultimately, three peptides exhibited antimicrobial activity against bacterial strains, which suggests that the method can be applied to reveal new AMPs in the venoms of other predators as well.

Entities:  

Keywords:  Antimicrobial peptides; predictive algorithm; sea anemone; toxin; transcriptome

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Year:  2018        PMID: 29361893     DOI: 10.1142/S0219720018400061

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  4 in total

1.  Identification of Antimicrobial Peptides from Novel Lactobacillus fermentum Strain.

Authors:  Anna S Pavlova; Georgii D Ozhegov; Georgij P Arapidi; Ivan O Butenko; Eduard S Fomin; Nikolai A Alemasov; Dmitry A Afonnikov; Dina R Yarullina; Vadim T Ivanov; Vadim M Govorun; Airat R Kayumov
Journal:  Protein J       Date:  2020-02       Impact factor: 2.371

2.  A bioinformatic study of antimicrobial peptides identified in the Black Soldier Fly (BSF) Hermetia illucens (Diptera: Stratiomyidae).

Authors:  Antonio Moretta; Rosanna Salvia; Carmen Scieuzo; Angela Di Somma; Heiko Vogel; Pietro Pucci; Alessandro Sgambato; Michael Wolff; Patrizia Falabella
Journal:  Sci Rep       Date:  2020-10-09       Impact factor: 4.379

3.  Prediction and Activity of a Cationic α-Helix Antimicrobial Peptide ZM-804 from Maize.

Authors:  Mohamed F Hassan; Abdelrahman M Qutb; Wubei Dong
Journal:  Int J Mol Sci       Date:  2021-03-05       Impact factor: 5.923

4.  Proteo-Transcriptomic Analysis Identifies Potential Novel Toxins Secreted by the Predatory, Prey-Piercing Ribbon Worm Amphiporus lactifloreus.

Authors:  Björn Marcus von Reumont; Tim Lüddecke; Thomas Timm; Günter Lochnit; Andreas Vilcinskas; Jörn von Döhren; Maria A Nilsson
Journal:  Mar Drugs       Date:  2020-08-01       Impact factor: 5.118

  4 in total

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